Leading Teams Through AI Bidding

    December 1, 2025|
    AI

    Platforms like Google and Meta have doubled down on automation, and their tools are becoming more central to everyday planning, buying and optimisation. The shift is significant, but the real leadership challenge is helping teams understand how human judgement and platform expertise remain more important than ever.

    A commercial airliner can apparently take off and land at its destination by itself, but who would fly on an airliner without a pilot!

    AI Is Transforming Tasks, Not Replacing Strategy

    AI streamlines repetitive tasks, crunches large datasets and adjusts campaigns in real time. Google's Performance Max and Meta's Advantage Suite show clear progress in automated creative, bidding, placements and audience targeting. These tools improve efficiency, but they still rely heavily on human direction and strategic alignment.

    For example, Google Performance Max can find high intent users across Search, YouTube and Display. However, it cannot set a brand strategy, anticipate seasonality or understand audience nuance without human input. Likewise, Meta Advantage+ Shopping can optimise creative combinations at scale, but it requires a strategist to define the audience signals, the creative framework and the measurement approach.

    AI enhances execution, but it cannot replace the thinking behind why a campaign exists or how it ladders up to business outcomes. This is where media professionals deliver irreplaceable value.

    Curiosity Over Fear Helps Teams Adapt

    AI should be framed as an opportunity for our teams to improve skills and elevate thinking. When teams view AI this way, they are more likely to engage with it.

    Leaders can build a culture of curiosity by encouraging experimentation, sharing platform updates in team forums, and creating safe spaces to test new tools. This mindset helps people approach AI as something they can learn from, not compete against.

    Google and Meta Examples Show Why Human Strategy Still Matters

    AI powered tools often look simple, but their performance depends on the expertise behind them.

    Example: Google

    Performance Max can optimise across Google's entire ecosystem. However, without a strategist to guide asset creation, conversion tracking, audience signals, budget allocation and competitive positioning, the system can optimise toward the wrong outcomes.

    For instance, without correct audience and creative inputs, Performance Max may favour low quality conversions, inflate volume focused metrics or reduce visibility into audience insights.

    Only a platform specialist can interpret results, refine inputs and shape measurement frameworks that reflect business goals rather than default platform goals.

    Example: Meta

    Meta's Advantage+ Shopping reduces manual setup by automating placements, bidding and creative combinations. But humans still need to craft the creative direction, test brand led messages, segment audiences in a meaningful way, identify when the system is favouring lower value customers and run incrementality or lift testing.

    Advantage+ works best when supported by a clearly defined funnel strategy. Without humans guiding creative, audience definition and testing methodology, results may look efficient but fail to contribute to long term brand or customer growth.

    These examples show that while Meta and Google are heavily investing in AI, the strongest results come from thoughtful human guidance that shapes the system.

    Upskilling Is a Leadership Priority

    Technology will keep evolving. Upskilling ensures teams remain confident and capable. Leaders should build ongoing learning into everyday routines, including platform knowledge sessions, cross team demos, short training modules and shared testing roadmaps. When people feel prepared, they adopt AI tools with confidence rather than hesitation.

    Shifting From Button Pushing To Systems Thinking

    If AI handles much of the execution, the value of media teams sits in systems thinking. This involves seeing how channels work together, guiding how creative influences performance and connecting media results to commercial outcomes.

    Leaders can support this shift by reframing briefs around business goals and creating space for teams to think strategically rather than simply operating platforms.

    Ready to strengthen your media strategy and harness the full potential of AI enhanced advertising? Get in touch with an ADMATICian today to see how we can help.

    Frequently Asked Questions

    No. AI bidding transforms execution, not strategy. Platforms like Google and Meta automate tasks such as bidding, placements, creative combinations and real-time optimisation, but they cannot define business objectives, brand strategy, or audience nuance. Human strategists are still required to set direction, align campaigns to commercial goals, anticipate seasonality, and interpret performance beyond platform defaults. AI improves efficiency, but strategy remains a human responsibility.

    Leadership's role is to guide understanding, not remove accountability. Teams need help seeing AI as a tool that enhances their work rather than replaces it. Effective leaders foster curiosity over fear by encouraging experimentation, sharing platform updates, and creating safe environments for testing. This helps teams engage with AI confidently while maintaining critical thinking and strategic oversight.

    AI-powered tools perform best when guided by clear human inputs. Performance Max requires strategic direction around asset creation, conversion tracking, audience signals, budget allocation and competitive positioning. Without this, it may optimise toward low-quality or misaligned outcomes. Similarly, Meta Advantage+ Shopping relies on humans to define creative frameworks, funnel strategy, audience segmentation and testing methodology. Without these inputs, results may appear efficient but fail to drive long-term brand or customer growth.

    Upskilling should be an ongoing leadership priority. This includes regular platform knowledge sessions, shared testing roadmaps, cross-team learning, and short, practical training modules. As AI takes on more executional tasks, teams need stronger skills in strategy, measurement, creative evaluation and systems thinking. Prepared teams adopt AI tools with confidence rather than resistance.

    As AI reduces manual setup and optimisation, the value of media teams shifts from button pushing to systems thinking. Teams add the most value by understanding how channels interact, how creative shapes performance, and how media contributes to broader business outcomes. Leaders can support this transition by reframing briefs around commercial goals and giving teams space to think strategically. In an AI-driven environment, human judgment becomes more important, not less.

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